Process Data from Dirty to Clean

Process Data Skills Gained

Course Perspective

Just finished the “Process Data from Dirty to Clean” course, and let me tell you, it’s been a game-changer. I’ve always been a hands-on guy, so I tend to dig in and learn the nitty-gritty before even thinking about a certification. This time was no different.

Data Integrity: The course kicked off with a solid foundation on data integrity. It broke down the types of integrity and the risks involved if you mess that up. This is a big deal in my digital marketing work where incorrect data can derail an entire campaign.

SQL Queries: Next up, SQL queries. If you’re not using SQL in your work yet, you’re missing out. It’s like the Swiss Army knife for dealing with databases. The course helped me refine my SQL skills, specifically for data cleaning tasks.

String Variables in SQL: Now, this was cool. We got into how to use SQL functions for cleaning up string variables in a database. It’s like having a vacuum cleaner but for data. It sucks up all the ‘dirty’ stuff and leaves you with what you really need.

Verifying Clean Data: Last but not least, we learned how to verify that the data is actually clean post-cleaning process. This is a crucial step that many overlook. What’s the point of cleaning if you don’t check your work, right?

So, what’s next? Well, I’m all about sharing knowledge. Whether it’s in Malaysia, Singapore, or online, I want to help others grasp these concepts, especially when it comes to digital marketing and programming. Time’s ticking—I’ve got a family and a little one to think about. So, let’s cut to the chase and start applying this newfound knowledge to real-world projects.